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The Role of AI-Powered Tools in Organisational Decision-Making

Bokan, Milan LU and Jacobson, Adam LU (2025) INFM10 20251
Department of Informatics
Abstract
The master’s thesis explores how employees in private and public sector organisations use AI-Powered tools in organizational decision-making and what benefits and challenges they experience from using such tools. Further, the study explores how these tools can be leveraged to support better decisions. For this, qualitative research was conducted, where data were collected through interviews with eight purposively selected employees from organisations in Sweden’s Skåne region. The collected data were analysed thematically to conclude to six themes that represent the findings. The findings, interpreted and discussed with the help of the theoretical framework, including sensemaking theory. The findings show that AI-powered tools are... (More)
The master’s thesis explores how employees in private and public sector organisations use AI-Powered tools in organizational decision-making and what benefits and challenges they experience from using such tools. Further, the study explores how these tools can be leveraged to support better decisions. For this, qualitative research was conducted, where data were collected through interviews with eight purposively selected employees from organisations in Sweden’s Skåne region. The collected data were analysed thematically to conclude to six themes that represent the findings. The findings, interpreted and discussed with the help of the theoretical framework, including sensemaking theory. The findings show that AI-powered tools are increasingly used in operational and tactical decision-making, particularly through secure, in-house generative AI systems. While private sector organisations adopt these tools rapidly for efficiency and competitive advantage, public sector entities proceed more cautiously, prioritizing compliance, data security, and public accountability. Across both sectors, AI is viewed as a supportive tool rather than a decision-maker, with human oversight remaining essential. Key benefits include improved speed, consistency, and collaboration, while challenges involve transparency, over-reliance, and regulatory constraints. The master’s thesis study contributes both conceptually and practically by offering insights into responsible AI integration and emphasizing the importance of contextual use, user training, and organizational alignment. (Less)
Please use this url to cite or link to this publication:
author
Bokan, Milan LU and Jacobson, Adam LU
supervisor
organization
alternative title
A Qualitative Study of Employees in Private and Public Sector Organisations in Sweden
course
INFM10 20251
year
type
H1 - Master's Degree (One Year)
subject
keywords
Artificial Intelligence, AI-Powered Systems, AI-Powered Tools, Decision-Making, Private organisations, Public organisations, Sweden, European Union, Sensemaking.
language
English
id
9203209
date added to LUP
2025-06-19 14:41:02
date last changed
2025-06-19 14:41:02
@misc{9203209,
  abstract     = {{The master’s thesis explores how employees in private and public sector organisations use AI-Powered tools in organizational decision-making and what benefits and challenges they experience from using such tools. Further, the study explores how these tools can be leveraged to support better decisions. For this, qualitative research was conducted, where data were collected through interviews with eight purposively selected employees from organisations in Sweden’s Skåne region. The collected data were analysed thematically to conclude to six themes that represent the findings. The findings, interpreted and discussed with the help of the theoretical framework, including sensemaking theory. The findings show that AI-powered tools are increasingly used in operational and tactical decision-making, particularly through secure, in-house generative AI systems. While private sector organisations adopt these tools rapidly for efficiency and competitive advantage, public sector entities proceed more cautiously, prioritizing compliance, data security, and public accountability. Across both sectors, AI is viewed as a supportive tool rather than a decision-maker, with human oversight remaining essential. Key benefits include improved speed, consistency, and collaboration, while challenges involve transparency, over-reliance, and regulatory constraints. The master’s thesis study contributes both conceptually and practically by offering insights into responsible AI integration and emphasizing the importance of contextual use, user training, and organizational alignment.}},
  author       = {{Bokan, Milan and Jacobson, Adam}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{The Role of AI-Powered Tools in Organisational Decision-Making}},
  year         = {{2025}},
}